code: def __init__(self, wavernn: WaveRNN):
      super().__init__()
      self.wavernn_model = wavernn
  
file_path: audio/examples/pipeline_wavernn/wavernn_inference_wrapper.py
imports: import torch
  import torchaudio
  from processing import normalized_waveform_to_bits
  from torch import Tensor
  from torchaudio.models.wavernn import WaveRNN
label_desc: Use image node_id 1 to create a new WaveRNNInferenceWrapper object from inherited base classes: torch.nn with example: obj = WaveRNNInferenceWrapper(wavernn)